people
members of the lab or group

555 your office number
123 your address street
Your City, State 12345
layout: about title: About permalink: / subtitle: PhD Researcher in Computer Vision, Biomedical Imaging
profile: align: right image: profile.png image_circular: false # crops the image to make it circular more_info: > <p>ARTORG Center for Biomedical Engineering Research</p> <p>University of Bern</p>
selected_papers: false # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page
announcements: enabled: true # includes a list of news items scrollable: false # adds a vertical scroll bar if there are more than 3 news items limit: 3 # leave blank to include all the news in the _news
folder
latest_posts: enabled: true scrollable: false # adds a vertical scroll bar if there are more than 3 new posts items limit: 3 # leave blank to include all the blog posts —
My name is Amith (meaning ‘infinite’ in Sanskrit) and I enjoy investigating problems in image analysis and building tools to solve them. I like mathematics as applied to gain a better understanding of what we see (naturally, or otherwise).
I am currently a doctoral student with Prof. Mauricio Reyes in the Medical Image Analysis lab, at the ARTORG Center, learning more about pixel-level segmentation using Deep Learning models and its’ robustness in clinical settings as applied to radiotherapy planning. Earlier, I learnt vision and robotics at Georgia Tech remotely, and wrote a masters’ dissertation at Minnesota, focusing on reducing MRI acquisition times while maintaining accurate orientation measurement of white matter fibers in our brains.
Along the way, I wrote code for image/vision at the MathWorks, built technical content for undergraduate courses, ran interactive workshops/seminars across India, all in the broad areas of computer science, biomedical engineering, and mathematics.
Here is a more detailed CV. I am grateful to call Bern, Bengaluru, Boston, Minneapolis, and Mangalore as home at various points in time.